spark_partition_id()

Описание

Функция spark_partition_id() возвращает идентификатор партиции, в которой выполняется текущая задача.

Параметры

Функция не принимает параметров.

Возвращаемое значение

Integer - идентификатор партиции

Пример использования

from pyspark.sql.functions import spark_partition_id
from pyspark.sql import SparkSession

# Создаем SparkSession
spark = SparkSession.builder.appName("spark_partition_id_example").getOrCreate()

# Создаем DataFrame и получаем идентификаторы партиций
data = [(1,), (2,), (3,), (4,), (5,)]
df = spark.createDataFrame(data, ["number"])
result = df.select("number", spark_partition_id().alias("partition_id")).show()

# Результат:
# +------+-------------+
# |number|partition_id|
# +------+-------------+
# |     1|           0|
# |     2|           0|
# |     3|           0|
# |     4|           0|
# |     5|           0|
# +------+-------------+

Примечания

• Идентификаторы партиций начинаются с 0
• Количество партиций зависит от конфигурации Spark и размера данных
• Для управления партициями используйте:
• repartition() для изменения количества партиций
• coalesce() для уменьшения количества партиций

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sketch functions

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sort functions

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xml functions

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агрегатные функции

• approx_count_distinct(col, rsd)
• std(col)
• sumDistinct(col)

битовые операции

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оконные функции

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операторы сравнения

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предикатные функции

• isnotnan(col)

системные функции

• database()
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условные функции

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функции для работы с битовыми картами

• bitmap_bit_position(bitmap, bit)
• bitmap_bucket_number(bitmap)

функции преобразования типов

• to_decimal(col, scale=0)

функции шифрования

• aes_decrypt(col, key)